Data Products Final Project

Diamond Price Application - Presentation

Harini Asaithambi
18/06/2020

Overview

This pitch presentation is for explaining the “Diamond Price Application”

This “Diamond Price Application” Shiny project is for predicting the price of a diamond based on the user input values of

  • Carat
  • Cut
  • Color

Data details

  • “diamonds"data set, from "ggplot2” package is used for this Shiny app project
  • Main predictors are carat, cut and color. 
library(ggplot2)
diamonds

# A tibble: 53,940 x 10
   carat cut       color clarity depth table price     x     y     z
   <dbl> <ord>     <ord> <ord>   <dbl> <dbl> <int> <dbl> <dbl> <dbl>
 1 0.23  Ideal     E     SI2      61.5    55   326  3.95  3.98  2.43
 2 0.21  Premium   E     SI1      59.8    61   326  3.89  3.84  2.31
 3 0.23  Good      E     VS1      56.9    65   327  4.05  4.07  2.31
 4 0.290 Premium   I     VS2      62.4    58   334  4.2   4.23  2.63
 5 0.31  Good      J     SI2      63.3    58   335  4.34  4.35  2.75
 6 0.24  Very Good J     VVS2     62.8    57   336  3.94  3.96  2.48
 7 0.24  Very Good I     VVS1     62.3    57   336  3.95  3.98  2.47
 8 0.26  Very Good H     SI1      61.9    55   337  4.07  4.11  2.53
 9 0.22  Fair      E     VS2      65.1    61   337  3.87  3.78  2.49
10 0.23  Very Good H     VS1      59.4    61   338  4     4.05  2.39
# ... with 53,930 more rows

Code details

UI Code

sliderInput(“Dcarat”, h3(“Diamond Carat”), 0.2, 5.01, value = 1), radioButtons(“Dcut”, h3(“Diamond Cut”), choices = list( “Fair” = “Fair”, “Good” = “Good”, “Very Good” = “Very Good”, “Premium” = “Premium”, “Ideal” = “Ideal”)), radioButtons(“Dcolor”, h3(“Diamond Color”), choices = list( “D” = “D”, “E” = “E”, “F” = “F”, “G” =“G”, “H” = “H”, “I” = “I”, “J” = “J”))

Server Code

lmfit <- lm( price~carat, newDiamonds) predprice <- predict(lmfit, newdata = data.frame(carat = input$Dcarat, cut = input$Dcut, color = input$Dcolor))

Approach

  • UI sidebar panel is designed to have a slider for carat input, radio buttons for cut and color of the diamond.
  • Once the values are set and submit is clicked, server does the prediction and renders the plot along with the predicted price value
  • Linear Model is used to predict the price of the diamonds
  • ggplot2 is used for the plot
  • Predicted price is displayed in the main panel just below the plot

Summary